source: sasmodels/sasmodels/models/bcc.py @ 754c454

#bcc paracrystal model
#note model title and parameter table are automatically inserted
"""
Calculates the scattering from a **body-centered cubic lattice** with paracrystalline distortion. Thermal vibrations
are considered to be negligible, and the size of the paracrystal is infinitely large. Paracrystalline distortion is
assumed to be isotropic and characterized by a Gaussian distribution.

The returned value is scaled to units of |cm^-1|\ |sr^-1|, absolute scale.

Definition
----------

The scattering intensity *I(q)* is calculated as

.. image:: img/image167.jpg

where *scale* is the volume fraction of spheres, *Vp* is the volume of the primary particle, *V(lattice)* is a volume
correction for the crystal structure, *P(q)* is the form factor of the sphere (normalized), and *Z(q)* is the
paracrystalline structure factor for a body-centered cubic structure.

Equation (1) of the 1990 reference is used to calculate *Z(q)*, using equations (29)-(31) from the 1987 paper for
*Z1*\ , *Z2*\ , and *Z3*\ .

The lattice correction (the occupied volume of the lattice) for a body-centered cubic structure of particles of radius
*R* and nearest neighbor separation *D* is

.. image:: img/image159.jpg

The distortion factor (one standard deviation) of the paracrystal is included in the calculation of *Z(q)*

.. image:: img/image160.jpg

where *g* is a fractional distortion based on the nearest neighbor distance.

The body-centered cubic lattice is

.. image:: img/image168.jpg

For a crystal, diffraction peaks appear at reduced q-values given by

.. image:: img/image162.jpg

where for a body-centered cubic lattice, only reflections where (\ *h* + *k* + *l*\ ) = even are allowed and
reflections where (\ *h* + *k* + *l*\ ) = odd are forbidden. Thus the peak positions correspond to (just the first 5)

.. image:: img/image169.jpg

**NB: The calculation of** *Z(q)* **is a double numerical integral that must be carried out with a high density of**
**points to properly capture the sharp peaks of the paracrystalline scattering.** So be warned that the calculation is
SLOW. Go get some coffee. Fitting of any experimental data must be resolution smeared for any meaningful fit. This
makes a triple integral. Very, very slow. Go get lunch!

This example dataset is produced using 200 data points, *qmin* = 0.001 |Ang^-1|, *qmax* = 0.1 |Ang^-1| and the above
default values.

.. image:: img/image170.jpg

*Figure. 1D plot in the linear scale using the default values (w/200 data point).*

The 2D (Anisotropic model) is based on the reference below where *I(q)* is approximated for 1d scattering. Thus the
scattering pattern for 2D may not be accurate. Note that we are not responsible for any incorrectness of the 2D model
computation.

.. image:: img/image165.gif

.. image:: img/image171.jpg

*Figure. 2D plot using the default values (w/200X200 pixels).*

REFERENCE

Hideki Matsuoka et. al. *Physical Review B*, 36 (1987) 1754-1765
(Original Paper)

Hideki Matsuoka et. al. *Physical Review B*, 41 (1990) 3854 -3856
(Corrections to FCC and BCC lattice structure calculation)
"""

from numpy import pi, inf

name = "BCCparacrystal"
title = "Body-centred cubic lattic with paracrystalline distortion"
description = """
    Calculates the scattering from a **body-centered cubic lattice** with paracrystalline distortion. Thermal vibrations
    are considered to be negligible, and the size of the paracrystal is infinitely large. Paracrystalline distortion is
    assumed to be isotropic and characterized by a Gaussian distribution.
    """

parameters = [
#   [ "name", "units", default, [lower, upper], "type","description" ],
    [ "dnn", "Ang", 220, [-inf,inf],"","Nearest neighbour distance"],
    [ "d_factor", "", 0.06,[-inf,inf],"","Paracrystal distortion factor" ],
    [ "radius", "Ang",  40, [0, inf], "volume","Particle radius" ],
    [ "sld", "1e-6/Ang^2", 4, [-inf,inf], "", "Particle scattering length density" ],
    [ "solvent_sld", "1e-6/Ang^2", 1, [-inf,inf], "","Solvent scattering length density" ],
    [ "theta", "degrees", 60, [-inf, inf], "orientation","In plane angle" ],
    [ "phi", "degrees", 60, [-inf, inf], "orientation","Out of plane angle" ],
    [ "psi", "degrees", 60, [-inf,inf], "orientation","Out of plane angle"]
    ]

source = [ "lib/J1.c", "lib/gauss150.c", "bcc.c" ]

def ER(radius, length):
    return 0

# parameters for demo
demo = dict(
    scale=1, background=0,
    dnn=200, d_factor=0.05, sld=6, solvent_sld=1,
    radius=20,
    theta=60, phi=60, psi=60,
    radius_pd=.2, radius_pd_n=8,
    theta_pd=15, theta_pd_n=0,
    phi_pd=15, phi_pd_n=0,
    psi_pd=15, psi_pd_n=0,
    )

# For testing against the old sasview models, include the converted parameter
# names and the target sasview model name.
oldname='BCCrystalModel'
oldpars=dict(sld='sldSph',
             solvent_sld='sldSolv')